BOL: Related items

Professor of Bioinformatics

Sat, 15 Aug 2026 12:39:03 -0500

The Department of Statistics are seeking to recruit a Professor of Bioinformatics. The professorship will be held alongside a Fellowship at University College.

The Department is at the forefront of developments in machine learning, data science, and computational methods for understanding complex biological systems, integrating these approaches into both its research and teaching. This role offers significant scope to shape the future of bioinformatics and quantitative biology at Oxford and beyond.

You will be expected to develop and lead a world-class research programme in bioinformatics, helping to strengthen Oxford's position in areas such as statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science. We value the breadth of approaches that contribute to modern bioinformatics. Whatever your particular focus, you will understand how quantitative and computational methods can be applied to important biological and biomedical questions, and how collaboration across disciplines can generate new insights and opportunities. Alongside your own research, you will support the development of doctoral students, postdoctoral researchers, and early-career academics. You will contribute to our teaching at undergraduate and postgraduate level, delivering lectures, supervising student projects, and supporting graduate research students.

We are looking for someone who combines scholarly distinction with a collaborative and ambitious approach to research. You will be a researcher with an international reputation in bioinformatics, with a strong record of producing influential research at the interface of statistics, computational biology, genomics, and data science, and of securing research funding. Your work should advance the field, whether through methodological innovation, biological discovery, or the development of new approaches to understanding complex biological and biomedical data. You will bring experience of shaping research strategy, building productive collaborations, and exercising academic leadership. Above all, we wish to appoint someone who shares our values of intellectual curiosity, academic excellence, scholarly integrity, and a commitment to fostering a positive, supportive, and inclusive environment for all.

If you would like to discuss this post, please contact the Head of the Department of Statistics, Professor Frank Windmeijer, frank.windmeijer@stats.ox.ac.uk, or for information about University College please contact the Senior Tutor, Dr Andrew Bell, andrew.bell@univ.ox.ac.uk. All enquiries will be treated in strict confidence and will not form part of the selection decision.

The closing date for applications is 12:00 noon UK time on Monday 21 September 2026. Interviews are expected to be held in November 2026.

Apply here https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form

PLOS Computational Biology: Translational Bioinformatics educational resources

Jitendra Narayan — Fri, 16 Aug 2013 12:24:56 -0500

PLOS present collection of Education articles: “Translational Bioinformatics”. This collection is presented as an online “book” which could serve as a reference tool for a graduate level introductory course, marking a step in an exciting new direction for the Education section of the journal.

Blog : http://blogs.plos.org/biologue/2012/12/28/translational-bioinformatics-plos-computational-biology-presents-an-educational-resource-for-an-emerging-field/

Educational Material : http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11

Address of the bookmark: http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11

Yeaman Lab

Wed, 16 Sep 2026 04:01:26 -0500

The natural world is a diverse place. To contend with highly variable environments, organisms have evolved a wide range of traits and behaviours as adaptations to their environment. From armour plating in stickleback to trade-offs between growth rate and cold tolerance in lodgepole pine, organisms have found many different genetic solutions to the challenge of existing in their environment. In my lab, we study a range of questions asking how such complex adaptations evolve:
How is the genetic basis of local adaptation shaped by the interplay between natural selection and dispersal?
Does the architecture of genome evolve to facilitate further adaptation?
How can we use genomic technologies and bioinformatics to study adaptation?
How do organisms adapt to rapidly changing environments?

To attempt to answer these questions about the basics of how evolution works, we use a combination of computational biology, analytical theory, comparative genomics.

More at https://yeamanlab.weebly.com

Translational Bioinformatics: Transforming 300 Billion Points of Data

Tue, 20 Aug 2013 19:03:47 -0500

Translational Bioinformatics: Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease Air date: Wednesday, June 20, 2012, 3:00:00 PM Time displayed is Eastern Time, Washington DC Local Description: There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations haven't been well described. The nascent field of translational bioinformatics may help. Dr. Butte's lab at Stanford University builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data (measured by researchers and clinicians over the past decade) into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab's work on using publicly available molecular measurements to find new uses for drugs, discovering new treatable mechanisms of disease in type 2 diabetes, and evaluating patients presenting with whole genomes sequenced. The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series Author: Atul Butte, M.D., Ph.D., Stanford University Runtime: 01:07:42 Permanent link: http://videocast.nih.gov/launch.asp?17321

Chemical Elements of Bioinformatics

Rahul Agarwal — Tue, 03 Sep 2013 16:35:39 -0500

You must be familiar with periodic table and colour pattern, but this time you are going to amaze by new elements table by Eagle genomics. Just check it out and have fun :)

http://elements.eaglegenomics.com/

Baumbach Lab

Wed, 21 Aug 2013 10:56:35 -0500

The Computational Biology research group was established in October 2012 at the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU). It emerged from the Computational Systems Biology group, founded in March 2010 at the Max Planck Institute for Informatics (MPII) and the Cluster of Excellence for Multimodel Computing and Interaction (MMCI) at Saarland University, Saarbrücken, Germany.

The group is headed by Prof. Dr. Jan Baumbach and currently hosts nine PhD students and one postdoctoral fellow at both, IMADA/SDU and MMCI/MPII.

More at >> http://www.baumbachlab.net/

Bioinformatics and Sequencing Courses and Workshops

Rahul Agarwal — Sat, 24 Aug 2013 16:41:26 -0500

Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:

http://www.isb-sib.ch/education/training-courses.html

Canadian bioinformatics also organises various bioinformatics and sequencing courses:

http://bioinformatics.ca/workshops

In addition to above two, EMBI Europe, EMBO Europe, Cold Spring Harbour USA, Wellcome Trust UK and NOVA Europe also organise bioinformatics and sequencing courses annually:

http://www.embl.de/training/events/index.php?p_outstation=ALL

http://www.embo.org/funding-awards/courses-workshops

http://meetings.cshl.edu/courses.html

http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm

http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&open=7

Look up a biological numbers

Jitendra Narayan — Fri, 23 Aug 2013 03:27:45 -0500

Did you ever need to look up a number like the volume of a cell or the cellular concentration of ATP, only to find yourself spending much more time than you wanted on the Internet or flipping through textbooks - all without much success?

Well, it didn’t happen only to you. It is often surprising how difficult it can be to find concrete biological numbers, even for properties that have been measured numerous times. To help solve this for one and all, BioNumbers (the database of key numbers in molecular biology) was created. Along with the numbers, you'll find the relevant references to the original literature, useful comments, and related numbers.

To cite BioNumbers please refer to: Milo et al. Nucl. Acids Res. (2010) 38: D750-D753. When using a specific entry from the database it is highly recommended that you also specify the BioNumbers 6 digit ID, e.g. "BNID 100986, Milo et al 2010".

Address of the bookmark: http://bionumbers.hms.harvard.edu/

Uni Computing Bergen Norway

Tue, 03 Sep 2013 18:40:50 -0500

Info on Uni Computing (Webpage: http://www.bccs.uni.no/) :

Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen.

5 groups in this lab works on computational resources, methods, algorithms, and software.

Following two bioinformatics groups are:

The Computational Biology Unit (CBU) provides education and research in bioinformatics focused on functional genomics.

The Computational Ecology Unit (CEU) is basically deal with population fluctuations, behavioural patterns and the ways life cycles emerge.

Ancestor at work !!!

Jit — Sun, 25 Aug 2013 19:45:28 -0500

When they will learn Bioinformatics :)